47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
import os
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import time
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from fastvideo import VideoGenerator
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from fastvideo.v1.configs.sample import SamplingParam
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OUTPUT_PATH = "video_samples_dmd2"
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def main():
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os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "VIDEO_SPARSE_ATTN"
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load_start_time = time.perf_counter()
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model_name = "FastVideo/FastWan2.1-T2V-1.3B-Diffusers"
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generator = VideoGenerator.from_pretrained(
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model_name,
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# FastVideo will automatically handle distributed setup
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num_gpus=1,
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use_fsdp_inference=True,
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# Adjust these offload parameters if you have < 32GB of VRAM
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text_encoder_offload=False,
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use_cpu_offload=False,
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VSA_sparsity=0.8,
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)
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load_end_time = time.perf_counter()
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load_time = load_end_time - load_start_time
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sampling_param = SamplingParam.from_pretrained(model_name)
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prompt = (
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"A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
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"wide with interest. The playful yet serene atmosphere is complemented by soft "
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"natural light filtering through the petals. Mid-shot, warm and cheerful tones."
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)
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start_time = time.perf_counter()
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video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, sampling_param=sampling_param)
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end_time = time.perf_counter()
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gen_time = end_time - start_time
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e2e_gen_time = end_time - start_time
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print(f"Time taken to load model: {load_time} seconds")
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print(f"Time taken to generate video: {gen_time} seconds")
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print(f"Time taken for e2e generation: {e2e_gen_time} seconds")
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if __name__ == "__main__":
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main()
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